Real-time people detection from a top-view ToF camera

Chang Liao Jr.; Xiuli Ma V; Chao Wang

doi:10.1117/12.2503254

9 August 2018 Real-time people detection from a top-view ToF camera

Chang Liao Jr., Xiuli Ma V, Chao Wang

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108061S (2018) https://doi.org/10.1117/12.2503254
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

The traditional people detection is mainly based on the two-dimensional data acquired from RGB images or videos. While with the help of the Time-of-Flight (TOF) camera, researchers can convert traditional two-dimensional data based on images or videos into pseudo-three-dimensional data containing depth information to achieve more accurate people detection. The research of this paper uses only the depth information and it is an important part of people counting. Based on the preprocessing of depth images, an algorithm based on Connected Component Analysis is proposed according to the characteristics of people in top-view scene. Aiming at the shortcomings of the algorithm in the crowd, the 21Hough Transform(HT) people head detection algorithm combined with depth information and priori conditions is proposed. And thus, we succeed in screening out the non-head objects and achieving real-time, accurate people detection. This study lays a solid foundation for the follow-up people counting.

Citation Download Citation

Chang Liao Jr., Xiuli Ma V, and Chao Wang "Real-time people detection from a top-view ToF camera", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108061S (9 August 2018); https://doi.org/10.1117/12.2503254

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